A Comparative Study on the Housing Conditions by Urban Size in Local Small-Medium Cities

Kim, Hongjoo; Ko, Ji-Yeong

doi:10.6107/jkha.2019.30.1.077

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…e influence relationship between financial development and city size is complex, showing the characteristics of an obvious network system. At the same time, there are various reasons that affect the relationship between financial development and city size, such as the impact of volatility, the spread of emergencies, and the mutual constraints of competition and synergy [17,18]. ese reasons make the modeling of the correlation characteristics between network nodes much more difficult, and some basic linear correlation analysis methods such as principal component analysis or covariance matrix have been unable to accurately quantify the relationship between complex network nodes.…”

Section: Mutual Information Algorithmmentioning

confidence: 99%

Correlation Analysis between Financial Development Level and City Size Based on Mutual Information Algorithm

Kong

2022

Mathematical Problems in Engineering

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Urbanization is the accompaniment of industrialization and modernization, a symbol of the progress of human civilization, and it has always been the focus of social attention. With the transfer of rural population to cities, the secondary and tertiary industries continue to produce agglomeration effects, and the urbanization process is accelerated. The level of urbanization has gradually become an important indicator to measure the degree of regional development, which has led to the exploration of the inner dynamics of urbanization. Finance is the core of modern economy, and urbanization is an important driving force for modern economic and social development. Research on the relationship between financial development and urban scale should also receive widespread attention. On the basis of reviewing and sorting out the related research results of urbanization and financial development, this paper makes an in-depth analysis of urbanization and financial development, respectively, aiming to have a systematic, comprehensive, and objective analysis of the interaction between urbanization and financial development. On this basis, combined with the current situation of our country’s financial development and urbanization, the internal relationship between the two is discussed. Based on the mutual information algorithm, this paper selects indicators that are representative of urbanization level, financial development, and economic development. By using the mutual information theory to analyze and rank the social and economic factors related to financial factors, it reveals the most relevant and accurate financial forecast. Then, it also discusses whether there is a cointegration relationship between urbanization and financial development and economic growth in our country and the causal relationship between them and analyzes the reasons on this basis.

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Section: Mutual Information Algorithmmentioning

confidence: 99%

Correlation Analysis between Financial Development Level and City Size Based on Mutual Information Algorithm

Kong

2022

Mathematical Problems in Engineering

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Automatic Recognition Method of Machine English Translation Errors Based on Multisignal Feature Fusion

Zhang

Huang

2022

Computational Intelligence and Neuroscience

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The current automatic recognition method of machine English translation errors has poor semantic analysis ability, resulting in low accuracy of recognition results. Therefore, this paper designs an automatic recognition method for machine English translation errors based on multifeature fusion. Manually classify and summarize the real error sentence pairs, falsify a large amount of data by means of data enhancement, enhance the effect and robustness of the machine translation error detection model, and add the source text to translation length ratio information and the translation language model PPL into the model input. The score feature information can further improve the classification accuracy of the error detection model. Based on this error detection scheme, the detection results can be used for subsequent error correction and can also be used for error prompts to provide translation user experience; it can also be used for evaluation indicators of machine translation effects. The experimental results show that the word posterior probability features calculated by different methods have a significant impact on the classification error rate, and adding source word features based on the combination of word posterior probability and linguistic features can significantly reduce the classification error rate, to improve the translation error detection ability.

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A Comparative Study on the Housing Conditions by Urban Size in Local Small-Medium Cities

Cited by 2 publications

References 4 publications

Correlation Analysis between Financial Development Level and City Size Based on Mutual Information Algorithm

Correlation Analysis between Financial Development Level and City Size Based on Mutual Information Algorithm

Automatic Recognition Method of Machine English Translation Errors Based on Multisignal Feature Fusion

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